CN103410663A - Method for identifying optimal pitch angles of fan blades - Google Patents
Method for identifying optimal pitch angles of fan blades Download PDFInfo
- Publication number
- CN103410663A CN103410663A CN2013103493557A CN201310349355A CN103410663A CN 103410663 A CN103410663 A CN 103410663A CN 2013103493557 A CN2013103493557 A CN 2013103493557A CN 201310349355 A CN201310349355 A CN 201310349355A CN 103410663 A CN103410663 A CN 103410663A
- Authority
- CN
- China
- Prior art keywords
- propeller pitch
- pitch angle
- wind
- blower fan
- fan
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
Landscapes
- Wind Motors (AREA)
Abstract
The invention discloses a method for identifying optimal pitch angles of fan blades. The method comprises the steps of A, calculating a Cp-lamda curve of a fan, reducing 1% around left and right sides of the maximum Cp, and determining a pitch angle interval 1 (P1, P2); B, calculating a steady state power curve of the fan; C, determining the maximum annual energy output through combining the wind speed of a wind field, reducing 1% on the left and right sides of the maximum annual energy output, and determining a pitch angle interval 2 (P3, P4); D, taking the intersection (P5, P6) of the (P1, P2) and the (P3, P4), calculating a dynamic power curve of the fan in the interval (P5, P6), and determining n pitch angles corresponding to the average wind speed between 3m/s and 6m/s at n different average wind speeds when the generation power is maximum; E, performing wind field actual test on the n pitch angles; F, selecting the optimal value according to test results. The optimal pitch angles are searched in low-wind-speed and ultra-low-wind-speed wind fields through the method, and the annual energy output can be improved by about 2%.
Description
Technical field
The present invention relates to the wind power technology field, particularly relate to the optimum propeller pitch angle discrimination method of a kind of fan blade.
Background technique
Wind-powered electricity generation is important clean energy resource, its exploitation come into one's own day by day, the feather technology is widely used in Large-scale Wind Turbines at present, and suitable change oar control strategy can make blade of wind-driven generator catch more wind energy, thereby on generated output, obtains considerable benefit.
The running state of speed-variable frequency-constant wind-driven generator group can be divided into four kinds of different stages according to the wind regime difference: be respectively grid-connected (incision) stage of constant speed, maximum Cp stage, rated speed stage and rated power stage.When arriving the incision wind speed, generator is cut with minimum speed, and now wind-driven generator operates under very large tip-speed ratio, keeps minimum speed at this stage generator; Along with the raising of wind speed, tip-speed ratio reduces gradually, and when reaching best tip-speed ratio, wind-driven generator enters three phases, i.e. in the maximum Cp stage, by the adjusting to rotational speed and torque, make wind-driven generator operate in all the time the state of best Cp at this stage motor; When motor reaches rated speed, the wind-driven generator operation enters second stage, under rated speed, the wind-driven generator tip-speed ratio is along with the raising of wind speed reduces gradually, and continuous off-target tip-speed ratio, in this stage, wind-driven generator operation Cp obviously reduces, but because wind speed improves constantly, the wind-power electricity generation acc power is close to rated condition gradually; When reaching rated condition, wind-driven generator keeps motor rated speed, torque, and makes motor maintain permanent power rating by becoming oar control.Different change oar strategies makes fan operation on different Cp-lamda curves, and generally, front three phases blade pitch angle is zero degree.
At present, below rated wind speed, the blower fan propeller pitch angle is typically provided to a fixed value when fan operation, and every Optimized Measures all concentrates on optimum Cp section right side and rated speed section.Because the wind energy turbine set of Middle And Eastern China is most of, be low wind speed wind field, some or ultralow wind speed wind field, the wind speed of fan operation is interval most of at 3m/s-6m/s, quite a few time inner blower operates in incision stage and maximum Cp section left-half, therefore, need to consider emphatically to optimize the fan efficiency problem in this wind speed section.
Summary of the invention
The purpose of this invention is to provide the optimum propeller pitch angle discrimination method of a kind of fan blade, make speed-variable frequency-constant wind-driven generator have optimum propeller pitch angle in incision stage and optimum Cp section left-half.
For achieving the above object, the present invention adopts following technological scheme:
The optimum propeller pitch angle discrimination method of a kind of fan blade comprises the following steps: A. calculates the power factor of blower fan under different propeller pitch angles-tip-speed ratio Cp-lamda curve, respectively reduces 1% around maximum Cp left and right, determines the optional interval 1[P1 of propeller pitch angle, P2]; B. calculate the blower fan steady state power curve under different propeller pitch angles; C. according to described blower fan steady state power curve, adopt annual mean wind speed standard Weibull to distribute, the availability of supposing blower fan is 100%, calculate the annual electricity generating capacity of blower fan under different propeller pitch angles, determine maximum annual electricity generating capacity, with maximum annual electricity generating capacity left and right, respectively reduce 1%, obtain the optional interval 2[P3 of propeller pitch angle, P4]; D. get described interval 1[P1, P2] and interval 2[P3, P4] common factor [P5, P6], calculating is blower fan dynamic power curve under different propeller pitch angles in [P5, P6] is interval, determines corresponding n propeller pitch angle when under the n of mean wind velocity between 3m/s-6m/s different mean wind velocitys, generated output is maximum; E. in same wind field, selected n group is tested blower fan, and corresponding n the propeller pitch angle that is adjusted into gained, schedule to last the test of several months respectively; F. the Data Comparison blower fan obtained according to fan monitoring and data acquistion system is being tested generated output under the different wind speed in front and back, focuses on simultaneously the ratio of the shared statistics electric weight of contrast test blower fan generated energy, selects optimum propeller pitch angle.
Further, in described step D, n=3, and 3 different mean wind velocitys are respectively 3.5m/s, 4.5m/s and 5.5m/s.
Further, described in step e, test every group of blower fan 2 Fans are set, and schedule to last the test of 3-6 month.
Further, described optimum propeller pitch angle is the optimum propeller pitch angle of speed-variable frequency-constant wind-driven generator in incision stage and optimum Cp section left-half.
Owing to adopting technique scheme, the present invention has the following advantages at least:
The optimum propeller pitch angle discrimination method of fan blade of the present invention, according to the concrete wind regime of different wind fields, be arranged to different value by the blower fan propeller pitch angle; Optimized Measures concentrates on constant speed the network segment and optimum Cp section left side, is conducive to optimize the low wind speed wind field of China's Middle Eastern, ultralow wind speed wind field raising fan efficiency.
The accompanying drawing explanation
Above-mentioned is only the general introduction of technical solution of the present invention, and for can clearer understanding technological means of the present invention, the present invention is described in further detail below in conjunction with accompanying drawing and embodiment.
Fig. 1 is the power factor-tip-speed ratio plotted curve of blower fan under different propeller pitch angles.
Fig. 2 is the generated output plotted curve of blower fan under different propeller pitch angles.
Fig. 3 is that propeller pitch angle is optimized rear fan generated energy proportion with the wind speed variation diagram.
Embodiment
The optimum propeller pitch angle discrimination method of a kind of fan blade of the present invention comprises the following steps:
A. calculate the power factor of blower fan under different propeller pitch angles-tip-speed ratio Cp-lamda curve, respectively reduce 1% around maximum Cp left and right, determine the optional interval 1[P1 of propeller pitch angle, P2]; B. calculate the blower fan steady state power curve under different propeller pitch angles; C. according to described blower fan steady state power curve, adopt annual mean wind speed standard Weibull to distribute, the availability of supposing blower fan is 100%, calculate the annual electricity generating capacity of blower fan under different propeller pitch angles, determine maximum annual electricity generating capacity, with maximum annual electricity generating capacity left and right, respectively reduce 1%, obtain the optional interval 2[P3 of propeller pitch angle, P4]; D. get described interval 1[P1, P2] and interval 2[P3, P4] common factor [P5, P6], calculating is blower fan dynamic power curve under different propeller pitch angles in [P5, P6] is interval, determines corresponding n propeller pitch angle when under the n of mean wind velocity between 3m/s-6m/s different mean wind velocitys, generated output is maximum; E. in same wind field, selected n group is tested blower fan, and corresponding n the propeller pitch angle that is adjusted into gained, schedule to last the test of several months respectively; F. the Data Comparison blower fan generated output under different wind speed before and after test obtained according to fan monitoring and data acquistion system, the ratio of the shared statistics electric weight of contrast test blower fan generated energy, select optimum propeller pitch angle emphatically.
Wherein, in step D, n=3 can be set, now desirable 3 different mean wind velocity 3.5m/s, 4.5m/s and 5.5m/s, find out under 3 wind speed corresponding 3 propeller pitch angles when generated output is maximum.Accordingly, selected 3 groups of test blower fans in step e, can every group arrange 2 Fans, schedules to last the test of the 3-6 month.
According to the aforesaid operations mode, in low wind speed, ultralow wind speed wind field, find the optimum propeller pitch angle of speed-variable frequency-constant wind-driven generator in incision stage and optimum Cp section left-half, after propeller pitch angle is adjusted to the right place, can improve wind field annual electricity generating capacity 2% left and right.
Application the method has been carried out concrete enforcement at the Tianjin wind field, implementation process mainly is divided into three phases, first stage is simulation stage, at first calculate power factor-tip-speed ratio (Cp-lamda) curve of wind field blower fan under different propeller pitch angles as shown in Figure 1, determine the interval 1[-1.7 ° of corresponding propeller pitch angle while respectively reducing 1% around maximum Cp left and right, 0.9 °].Calculate again blower fan steady state power curve as shown in Figure 2, the annual mean wind speed of determining wind field is about 6.6m/s, the actual conditions of application steady state power curve and wind field calculates the blower fan annual electricity generating capacity, around maximum annual electricity generating capacity left and right, respectively reduce the interval 2[-2.5 ° of 1% corresponding propeller pitch angle, 0.6 °].Then get above-mentioned interval 1[-1.7 °, 0.9 °] and interval 2[-2.5 °, 0.6 °] common factor [1.7 °, 0.6 °], in this intersection range, calculate the blower fan dynamic power curve under different propeller pitch angles, determine corresponding propeller pitch angle when under low wind speed, generated output is maximum.Corresponding propeller pitch angle-1.5 ° under selected 3.5m/s, 4.5m/s and 5.5m/s wind speed ,-0.8 ° ,-0.3 °.
Second stage is test phase, selected above-mentioned three propeller pitch angles, and selected 6 test blower fans, established angle of every two Fans debugging, test period is in October, 2012-2013 year April.
Finally for the data analysis stage, the contrast blower fan under different wind speed before and after test the generated output curve and the ratio of the shared whole audience blower fan of generated energy generated energy, in order to evaluate the propeller pitch angle effect of optimization.Wherein, when carrying out the generated output curve comparison, need to weed out invalid generating data (comprising data obviously bigger than normal, less than normal etc.), should calibrate air density with temperature simultaneously, guarantee that the benchmark before and after the generated output curve comparison is consistent.When whether contrast generated energy proportion improves, select the blower fan availability to be greater than and in section, contrast for 99% working time, weed out simultaneously the abnormal data of generated energy.
As shown in Figure 3, Data Comparison shows when the blower fan propeller pitch angle adjusts to-0.8 °, and the generated energy proportion of test blower fan has obtained effective raising, and the average amplification of wind field generated energy reaches 2.9%.
The above; it is only preferred embodiment of the present invention; not the present invention is done to any pro forma restriction, those skilled in the art utilize the technology contents of above-mentioned announcement to make a little simple modification, equivalent variations or modification, all drop in protection scope of the present invention.
Claims (4)
1. the optimum propeller pitch angle discrimination method of fan blade, is characterized in that, comprises the following steps:
A. calculate the power factor of blower fan under different propeller pitch angles-tip-speed ratio Cp-lamda curve, respectively reduce 1% around maximum Cp left and right, determine the optional interval 1[P1 of propeller pitch angle, P2];
B. calculate the blower fan steady state power curve under different propeller pitch angles;
C. according to described blower fan steady state power curve, adopt annual mean wind speed standard Weibull to distribute, the availability of supposing blower fan is 100%, calculate the annual electricity generating capacity of blower fan under different propeller pitch angles, determine maximum annual electricity generating capacity, with maximum annual electricity generating capacity left and right, respectively reduce 1%, obtain the optional interval 2[P3 of propeller pitch angle, P4];
D. get described interval 1[P1, P2] and interval 2[P3, P4] common factor [P5, P6], calculating is blower fan dynamic power curve under different propeller pitch angles in [P5, P6] is interval, determines corresponding n propeller pitch angle when under the n of mean wind velocity between 3m/s-6m/s different mean wind velocitys, generated output is maximum;
E. in same wind field, selected n group is tested blower fan, and corresponding n the propeller pitch angle that is adjusted into gained, schedule to last the test of several months respectively;
F. the Data Comparison blower fan obtained according to fan monitoring and data acquistion system is being tested generated output under the different wind speed in front and back, contrasts emphatically simultaneously the ratio of the shared statistics electric weight of test blower fan generated energy under different propeller pitch angles, selects optimum propeller pitch angle.
2. the optimum propeller pitch angle discrimination method of fan blade according to claim 1, is characterized in that, in described step D, and n=3, and 3 different mean wind velocitys are respectively 3.5m/s, 4.5m/s and 5.5m/s.
3. the optimum propeller pitch angle discrimination method of fan blade according to claim 1, is characterized in that, described in step e, tests every group of blower fan 2 Fans are set, and schedule to last the test of 3-6 month.
4. according to the optimum propeller pitch angle discrimination method of the described fan blade of claim 1-3 any one, it is characterized in that, described optimum propeller pitch angle is the optimum propeller pitch angle of speed-variable frequency-constant wind-driven generator in incision stage and optimum Cp section left-half.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310349355.7A CN103410663B (en) | 2013-08-12 | 2013-08-12 | The optimum propeller pitch angle discrimination method of a kind of fan blade |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201310349355.7A CN103410663B (en) | 2013-08-12 | 2013-08-12 | The optimum propeller pitch angle discrimination method of a kind of fan blade |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN103410663A true CN103410663A (en) | 2013-11-27 |
| CN103410663B CN103410663B (en) | 2016-02-03 |
Family
ID=49603696
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201310349355.7A Active CN103410663B (en) | 2013-08-12 | 2013-08-12 | The optimum propeller pitch angle discrimination method of a kind of fan blade |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN103410663B (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104863793A (en) * | 2015-06-10 | 2015-08-26 | 东南大学 | Control method for triggering variable pitch action instruction of wind driven generator according to mean value |
| CN108223271A (en) * | 2017-12-29 | 2018-06-29 | 华润电力风能（汕头潮南）有限公司 | A kind of method of adjustment and device of fan blade setting angle |
| CN110873022A (en) * | 2018-08-31 | 2020-03-10 | 北京金风科创风电设备有限公司 | Method and device for self-optimizing blade pitch angle of wind generating set |
| CN111058994A (en) * | 2019-11-19 | 2020-04-24 | 大唐新疆清洁能源有限公司 | Variable pitch control system and method of variable pitch generator |
| CN111927708A (en) * | 2020-08-14 | 2020-11-13 | 国电联合动力技术有限公司 | Pitch angle self-optimizing control method and device |
| CN113279904A (en) * | 2021-05-24 | 2021-08-20 | 许昌许继风电科技有限公司 | Pitch angle optimizing method and device for maximum power tracking of wind turbine generator |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7002259B2 (en) * | 2001-08-22 | 2006-02-21 | Clipper Windpower Technology, Inc. | Method of controlling electrical rotating machines connected to a common shaft |
| CN101054951A (en) * | 2007-05-24 | 2007-10-17 | 上海交通大学 | Large scale wind power machine control method based on maximum energy capture |
| CN101395369A (en) * | 2006-02-28 | 2009-03-25 | 三菱重工业株式会社 | Wind power generation system, and control method therefor |
| CN102536654A (en) * | 2012-02-07 | 2012-07-04 | 国电联合动力技术有限公司 | Variable-pitch control method of variable-speed constant frequency wind turbine at pitching-in stage |
| WO2012140455A2 (en) * | 2011-04-11 | 2012-10-18 | University Of Zagreb | Generator-fault-tolerant control for a variable-speed variable-pitch wind turbine |
| CN102748217A (en) * | 2012-07-27 | 2012-10-24 | 国电联合动力技术有限公司 | Dynamically optimal blade pitch angle control method and device of wind generator set |
-
2013
- 2013-08-12 CN CN201310349355.7A patent/CN103410663B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7002259B2 (en) * | 2001-08-22 | 2006-02-21 | Clipper Windpower Technology, Inc. | Method of controlling electrical rotating machines connected to a common shaft |
| CN101395369A (en) * | 2006-02-28 | 2009-03-25 | 三菱重工业株式会社 | Wind power generation system, and control method therefor |
| CN101054951A (en) * | 2007-05-24 | 2007-10-17 | 上海交通大学 | Large scale wind power machine control method based on maximum energy capture |
| WO2012140455A2 (en) * | 2011-04-11 | 2012-10-18 | University Of Zagreb | Generator-fault-tolerant control for a variable-speed variable-pitch wind turbine |
| CN102536654A (en) * | 2012-02-07 | 2012-07-04 | 国电联合动力技术有限公司 | Variable-pitch control method of variable-speed constant frequency wind turbine at pitching-in stage |
| CN102748217A (en) * | 2012-07-27 | 2012-10-24 | 国电联合动力技术有限公司 | Dynamically optimal blade pitch angle control method and device of wind generator set |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104863793A (en) * | 2015-06-10 | 2015-08-26 | 东南大学 | Control method for triggering variable pitch action instruction of wind driven generator according to mean value |
| CN104863793B (en) * | 2015-06-10 | 2017-11-14 | 东南大学 | A kind of control method that wind-driven generator pitching action command is triggered according to average value |
| CN108223271A (en) * | 2017-12-29 | 2018-06-29 | 华润电力风能（汕头潮南）有限公司 | A kind of method of adjustment and device of fan blade setting angle |
| CN110873022A (en) * | 2018-08-31 | 2020-03-10 | 北京金风科创风电设备有限公司 | Method and device for self-optimizing blade pitch angle of wind generating set |
| CN110873022B (en) * | 2018-08-31 | 2021-01-26 | 北京金风科创风电设备有限公司 | Method and device for self-optimizing blade pitch angle of wind generating set |
| CN111058994A (en) * | 2019-11-19 | 2020-04-24 | 大唐新疆清洁能源有限公司 | Variable pitch control system and method of variable pitch generator |
| CN111927708A (en) * | 2020-08-14 | 2020-11-13 | 国电联合动力技术有限公司 | Pitch angle self-optimizing control method and device |
| CN113279904A (en) * | 2021-05-24 | 2021-08-20 | 许昌许继风电科技有限公司 | Pitch angle optimizing method and device for maximum power tracking of wind turbine generator |
| CN113279904B (en) * | 2021-05-24 | 2022-06-21 | 许昌许继风电科技有限公司 | Pitch angle optimizing method and device for maximum power tracking of wind turbine generator |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103410663B (en) | 2016-02-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103410663B (en) | The optimum propeller pitch angle discrimination method of a kind of fan blade | |
| CN106611965B (en) | Wind power plant coordination control method and system for preventing large-scale wind power from frequently crossing | |
| CN108664671B (en) | Wind power plant multi-machine aggregation model parameter identification method and device | |
| AU2015374696A1 (en) | Method, device and system for compensating output power of wind turbine generator set | |
| CN103244348A (en) | Power curve optimization method for variable-speed variable-pitch wind generating set | |
| CN103219725A (en) | Wind power plant equivalent modeling method based on real-time operation data | |
| CN103886181A (en) | Wind power plant aggregation method based on K-MEDOIDS aggregation | |
| Liu et al. | Investigation on the spatiotemporal complementarity of wind energy resources in China | |
| Elizondo et al. | Model reduction, validation, and calibration of wind power plants for dynamic studies | |
| CN105023099B (en) | A kind of wind-driven generator output appraisal procedure for considering turbulence intensity | |
| CN104504285A (en) | Doubly-fed wind power farm equivalent modeling method for crowbar protection | |
| Siswanto et al. | Steady state stability limit assessment when wind turbine penetrated to the systems using REI approach | |
| CN103557117B (en) | Power curves of wind-driven generator sets acquisition device | |
| CN108460228B (en) | Wind power plant equivalence method based on multi-objective optimization algorithm | |
| Zhang et al. | Research on wind and solar penetration in a 9-bus network | |
| CN106451527A (en) | Doubly-fed wind farm group aggregating method and doubly-fed wind farm group aggregating system based on dynamic characteristics of rotor current | |
| Qi et al. | Dynamic equivalent modeling of direct-drive PMSG wind farms based on the transient active power response characteristics | |
| Wang et al. | Small signal stability analysis with high penetration of grid-connected wind farm of PMSG type considering the wake effect | |
| CN103886182A (en) | Parameter equating method for aggregation model of doubly-fed generator set wind power station | |
| CN103886178A (en) | Parameter equating method for aggregation models of wind power plants with permanent-magnetic direct-drive units | |
| CN114221379A (en) | Reactive voltage control method and system for wind storage combined system in isolated network black start | |
| TWI684142B (en) | Integral Electricity Generation System | |
| Jiang et al. | Analysis of the combined impact of small-scale wind generators and electric vehicles on future power networks | |
| Sun et al. | A practical clustering method of DFIG wind farms based on dynamic current error | |
| Mu et al. | Optimized active power control of DFIG wind farm |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |